Compiling digital signal processing application code is not a push-button process—at least, not unless you're willing to settle for inefficient code. Signal processing algorithms (and the processors ...
As DSP processors become more powerful and compiler optimization techniques improve, the once common trend of writing DSP applications solely in assembly has withered away. Today, almost every DSP ...
Many of the “hot” application areas in today's connected computing environment are embedded applications in consumer, home and industrial electronics that require the capabilities of both ...
> Hoping to advance the capabilities of digital-signal-processor (DSP) software development, Texas Instruments, Inc. and The MathWorks have announced two software ...
Programming processors is becoming more complicated as more and different types of processing elements are included in the same architecture. While systems architects may revel in the number of ...
– Best-in-class Differentiation for TV manufacturers through Customizable Modular Processing and DSP Code Download Capability Freiburg, Germany, January 31, 2006 — Micronas (SWX Swiss Exchange: MASN), ...
MATLAB and Simulink are widely used for modeling and simulating real-time dynamical systems. To verify the performance of MATLAB/Simulink models of these systems in a real-time application, ...
Texas Instruments (TI) had one operating system at the top if its list when it put together support for DaVinci, its latest dual-core ARM/DSP OMAP line—MontaVista's Linux. In fact, TI took this ...
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